Many methods have been applied to image segmentation, including unsupervised, supervised, and even deep learning-based models. Semantic and instance segmentation are the two most widely researched forms of segmentation. It is of value to use multiple methods to segment an image. In this paper, we present an image segmentation ensemble methodology. Multiple image segmentation methods are applied to an image and merged to create one segmentation using the proposed method. The technique uses the Jaccard index algorithm, sometimes called the Jaccard similarity coefficient and commonly known as Intersection over Union (IoU). This resulted in better segmentation results than the respective individual segmentation methods. This experiment was applied to mathematical expression recognition (MER), with the expressions taken from blackboards with varying degrees of noise, and lighting conditions, from different classroom environments. A summary of empirical results from the segmentation of multiple images is presented in the paper.
{"title":"Jaccard Index in Ensemble Image Segmentation: An Approach","authors":"Daniel Ogwok, E. M. Ehlers","doi":"10.1145/3581792.3581794","DOIUrl":"https://doi.org/10.1145/3581792.3581794","url":null,"abstract":"Many methods have been applied to image segmentation, including unsupervised, supervised, and even deep learning-based models. Semantic and instance segmentation are the two most widely researched forms of segmentation. It is of value to use multiple methods to segment an image. In this paper, we present an image segmentation ensemble methodology. Multiple image segmentation methods are applied to an image and merged to create one segmentation using the proposed method. The technique uses the Jaccard index algorithm, sometimes called the Jaccard similarity coefficient and commonly known as Intersection over Union (IoU). This resulted in better segmentation results than the respective individual segmentation methods. This experiment was applied to mathematical expression recognition (MER), with the expressions taken from blackboards with varying degrees of noise, and lighting conditions, from different classroom environments. A summary of empirical results from the segmentation of multiple images is presented in the paper.","PeriodicalId":436413,"journal":{"name":"Proceedings of the 2022 5th International Conference on Computational Intelligence and Intelligent Systems","volume":"106 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124104394","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
As a means of transportation, bicycle has brought great convenience for human travel and exercise. With the popularization of bicycle, more and more cross-country time trial bicycle races have begun to rise. Based on this, this paper adopts Pontryagin's Maximum Principles and analytic hierarchy Process respectively to establish mechanical model and terrain analysis model, and evaluates the comprehensive quality of racers based on their race types, while considering the influence of various factors such as weather environment. In this paper, the power distribution of racers in different terrains and time periods is analyzed, and the model is applied to a typical track to obtain the power distribution diagram of racers achieving the best results.
{"title":"Stage-Terrain-Power Model Based on Analytic Hierarchy Process","authors":"Boyu Zang, Jishen Zhao","doi":"10.1145/3581792.3581804","DOIUrl":"https://doi.org/10.1145/3581792.3581804","url":null,"abstract":"As a means of transportation, bicycle has brought great convenience for human travel and exercise. With the popularization of bicycle, more and more cross-country time trial bicycle races have begun to rise. Based on this, this paper adopts Pontryagin's Maximum Principles and analytic hierarchy Process respectively to establish mechanical model and terrain analysis model, and evaluates the comprehensive quality of racers based on their race types, while considering the influence of various factors such as weather environment. In this paper, the power distribution of racers in different terrains and time periods is analyzed, and the model is applied to a typical track to obtain the power distribution diagram of racers achieving the best results.","PeriodicalId":436413,"journal":{"name":"Proceedings of the 2022 5th International Conference on Computational Intelligence and Intelligent Systems","volume":"56 3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133792148","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Under the background of implementing the strategy of rural revitalization, eliminating poverty and realizing common prosperity have become an important goal for China's social development. With the further progress of society, China has implemented targeted poverty alleviation policies for counties and districts with relatively backward geographical locations and poor economic conditions. However, due to the differences and limitations of geographical locations, some regions in China cannot keep up with the national policy guidelines and fail to extend the policy system we have implemented to all aspects. Therefore, in order to solve the problems of precise identification, precise management and precise assistance of poor households encountered in the implementation of the targeted poverty alleviation policy, this paper collects and processes poverty alleviation data by combining advanced modern technologies such as GIS geographic information system, GNSS, computer system and mobile Internet. This paper analyzes the existing problems of the precision poverty alleviation system based on geographic information, and then puts forward the construction strategies of the design and implementation of the precision poverty alleviation system in poor counties.
{"title":"Design and Implementation of Precision Poverty Alleviation System in Poverty-Stricken County based on GIS and Computer Platform","authors":"Cheng Xu, Juanjuan Zhang, Zhen Cao","doi":"10.1145/3581792.3581805","DOIUrl":"https://doi.org/10.1145/3581792.3581805","url":null,"abstract":"Under the background of implementing the strategy of rural revitalization, eliminating poverty and realizing common prosperity have become an important goal for China's social development. With the further progress of society, China has implemented targeted poverty alleviation policies for counties and districts with relatively backward geographical locations and poor economic conditions. However, due to the differences and limitations of geographical locations, some regions in China cannot keep up with the national policy guidelines and fail to extend the policy system we have implemented to all aspects. Therefore, in order to solve the problems of precise identification, precise management and precise assistance of poor households encountered in the implementation of the targeted poverty alleviation policy, this paper collects and processes poverty alleviation data by combining advanced modern technologies such as GIS geographic information system, GNSS, computer system and mobile Internet. This paper analyzes the existing problems of the precision poverty alleviation system based on geographic information, and then puts forward the construction strategies of the design and implementation of the precision poverty alleviation system in poor counties.","PeriodicalId":436413,"journal":{"name":"Proceedings of the 2022 5th International Conference on Computational Intelligence and Intelligent Systems","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125251822","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Proceedings of the 2022 5th International Conference on Computational Intelligence and Intelligent Systems","authors":"","doi":"10.1145/3581792","DOIUrl":"https://doi.org/10.1145/3581792","url":null,"abstract":"","PeriodicalId":436413,"journal":{"name":"Proceedings of the 2022 5th International Conference on Computational Intelligence and Intelligent Systems","volume":"73 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122215814","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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